Transcript 2013_Spring_CS306_Lecture_2Ax

The Relational Model
These slides are based on the slides of
your text book.
Why Study the Relational Model?




By “Codd”, 1970
Implementation: IBM’s, System R, by Chamberlain
et. al.
SEQUEL
Most widely used model.
–

Vendors: IBM, Informix, Microsoft, Oracle, Sybase, etc.
Recent competitor: object-oriented model
–
–
ObjectStore, Versant, Ontos
A synthesis: object-relational model

Informix Universal Server, UniSQL, O2, Oracle, DB2
Relational Database: Definitions

Relational database: a set of relations
sid
53666
53688
53650
name
login
Jones jones@cs
Shero shero@cs
Shero shero@math
age
18
18
19
gpa
3.4
3.2
3.8
Relational Database: Definitions

Relation: made up of 2 parts:
1.
2.
Instance : a table, with rows and columns.
#Rows = cardinality, #fields = degree / arity.
Schema : specifies name of relation, plus name and type of
each column.

E.G. Students(sid: string, name: string, login: string,
age: integer, gpa: real).
sid
53666
53688
53650
name
login
Jones jones@cs
Shero shero@cs
Shero shero@math
age
18
18
19
gpa
3.4
3.2
3.8
Relational Database: Definitions

You can think of a relation as a set of rows or
tuples (i.e., all rows are distinct).
sid
53666
53688
53650
name
login
Jones jones@cs
Shero shero@cs
Shero shero@math
age
18
18
19
gpa
3.4
3.2
3.8
Relational Query Languages


A major strength of the relational model:
supports simple, powerful querying of data.
Queries can be written intuitively, and the
DBMS is responsible for efficient evaluation.
The SQL Query Language



Developed by IBM (system R) in the 1970s
Need for a standard since it is used by many
vendors
Standards:
–
–
–
–
SQL-86
SQL-89 (minor revision)
SQL-92 (major revision, current standard)
SQL-99 (major extensions)
The SQL Query Language
sid
53666
53688
53650
name
login
Jones jones@cs
Shero shero@cs
Shero shero@math
name
53666 Jones
gpa
3.4
3.2
3.8
SELECT *
FROM Students S
WHERE S.age=18
Find all students
with age 18
sid
age
18
18
19
login
age gpa
jones@cs
18
3.4
53688 Shero shero@cs
18
3.2
The SQL Query Language
sid
53666
53688
53650
name
login
Jones jones@cs
Shero shero@cs
Shero shero@math
Names and logins of
all students
with age 18
name
login
Jones
jones@cs
Shero shero@cs
age
18
18
19
gpa
3.4
3.2
3.8
SELECT S.name, S.login
FROM Students S
WHERE S.age=18
Querying Multiple Relations
Enrolled
sid
53831
53831
53650
53666
cid
grade
Carnatic101
C
Reggae203
B
Topology112
A
History105
B
Names and cids of
Students who had an A
From the cid they are
enrolled
Students
sid
name
login
age gpa
53666 Jones
jones@cs
18
3.4
53688 Shero
shero@cs
18
3.2
SELECT S.name, E.cid
FROM Students S, Enrolled E
WHERE S.sid=E.sid AND E.grade=“A”
S.name E.cid
Shero
Topology112
Creating Relations in SQL
CREATE TABLE Students
(sid: CHAR(20),
name: CHAR(20),
login: CHAR(10),
age: INTEGER,
gpa: REAL)
sid
name
login
age gpa
53666 Jones
jones@cs
18
3.4
53688 Shero
shero@cs
18
3.2
Creates the Students relation. Observe
that the type (domain) of each field
is specified, and enforced by the
DBMS whenever tuples are added or
modified.
Creating Relations in SQL
As another example, the Enrolled table
holds information about courses
that students take.
CREATE TABLE Enrolled
(sid: CHAR(20),
cid: CHAR(20),
grade: CHAR(2))
Destroying and Altering Relations
DROP TABLE Students
Destroys the relation Students. The schema information and the
tuples are deleted.
Destroying and Altering Relations
ALTER TABLE Students
ADD COLUMN firstYear: integer
The schema of Students is altered by adding a new field; every
tuple in the current instance is extended with a null value in the
new field.
sid
name
login
age
First Year gpa
53666
Jones
jones@cs
18
null
3.4
53688
Shero
shero@cs
18
null
3.2
Adding and Deleting Tuples
Can insert a single tuple using
INSERT INTO Students (sid, name, login, age, gpa)
VALUES (53688, ‘Smith’, ‘smith@ee’, 18, 3.2)
sid
name
login
age gpa
53666 Jones
jones@cs
18
3.4
53688 Smith
smith@ee
18
3.2
Adding and Deleting Tuples
Can delete all tuples satisfying some condition (e.g., name =
Shero):
DELETE
FROM Students S
WHERE S.name = ‘Shero’
Powerful variants of these commands are available; more later!
Integrity Constraints (ICs)

IC: condition that must be true for any instance of the
database; e.g., domain constraints.
–
–

A legal instance of a relation is one that satisfies all
specified ICs.
–

ICs are specified when schema is defined.
ICs are checked when relations are modified.
DBMS should not allow illegal instances.
If the DBMS checks ICs, stored data is more faithful to
real-world meaning.
–
Avoids data entry errors, too!
Primary Key Constraints

A set of fields is a key for a relation if :
–
–
–
–

1. No two distinct tuples can have same values in all key fields, and
2. This is not true for any subset of the key.
Part 2 false? A superkey.
If there’s >1 key for a relation, one of the keys is chosen (by DBA)
to be the primary key.
E.g., sid is a key for Students. (What about name?) The set
{sid, gpa} is a superkey.
sid
name
login
age gpa
53666 Jones
jones@cs
18
3.4
53688 Shero
shero@cs
18
3.2
Primary and Candidate Keys in
SQL
“For a given student and course, there is a
single grade.”
CREATE TABLE Enrolled
(sid CHAR(20)
cid CHAR(20),
grade CHAR(2),
PRIMARY KEY (sid,cid) )
Primary and Candidate Keys in
SQL
Possibly many candidate keys (specified
using UNIQUE), one of which is chosen CREATE TABLE Enrolled
as the primary key.
(sid CHAR(20)
cid CHAR(20),
“Students can take only one course,
grade CHAR(2),
and receive a single grade for that
PRIMARY KEY (sid),
course; further, no two students in a
course receive the same grade.”
UNIQUE (cid, grade) )
Used carelessly, an IC can prevent the storage of database instances
that arise in practice!
Foreign Keys, Referential Integrity


Foreign key : Set of fields in one relation that is used to `refer’ to a tuple in
another relation. (Must correspond to primary key of the second relation.) Like
a `logical pointer’.
E.g. sid is a foreign key referring to Students:
sid
cid
grade
53688 Topology112
A
53666 History105
B
sid
name
login
age
gpa
53666 Jones
jones@cs
18
3.4
53688 Smith
smith@ee
18
3.2
Foreign Keys, Referential Integrity
–
–
If all foreign key constraints are enforced, referential integrity
is achieved, i.e., no dangling references.
Can you name a data model w/o referential integrity?

Links in HTML!
sid
cid
53688 Topology112
53665 History105
grade
A
B
sid
name
login
age gpa
53666 Jones
jones@cs
18
3.4
53688 Shero
shero@cs
18
3.2
Foreign Keys in SQL

Only students listed in the Students relation should be allowed to enroll
for courses.
CREATE TABLE Enrolled
(sid CHAR(20), cid CHAR(20), grade CHAR(2),
PRIMARY KEY (sid,cid),
FOREIGN KEY (sid) REFERENCES Students )
Enrolled
sid
53666
53666
53650
53666
cid
Carnatic101
Reggae203
Topology112
History105
grade
C
B
A
B
Students
sid
name
login
53666 Jones jones@cs
53688 Smith smith@eecs
53650 Smith smith@math
age
18
18
19
gpa
3.4
3.2
3.8
Enforcing Referential Integrity
Consider Students and
sid name
login
age
Enrolled; sid in Enrolled is a
53666 Jones jones@cs
18
foreign key that references
53688 Smith smith@eecs
18
Students.
53650 Smith smith@math 19
 What should be done if an
Enrolled tuple with a nonexistent student id is inserted?
sid
cid
grade
53666 Carnatic101
C
 Reject it!
53666 Reggae203
B
53650 Topology112
A
53666 History105
B

gpa
3.4
3.2
3.8
Enforcing Referential Integrity

What should be done if a
Students tuple (say 53650) is
deleted?


Also delete all Enrolled tuples that
refer to it.
sid
53666
53650
53689
name
login
Jones jones@cs
Shero shero@eecs
Smith smith@math
age
18
18
19
gpa
3.4
3.2
3.8
Disallow deletion of a Students
tuple that is referred to.

Set sid in Enrolled tuples that refer
to it to a default sid.

(In SQL, also: Set sid in Enrolled
tuples that refer to it to a special
value null, denoting `unknown’ or
`inapplicable’.)
sid
53666
53666
53650
53666

cid
Carnatic101
Reggae203
Topology112
History105
grade
C
B
A
B
Similar if primary key of
Students tuple is updated.
Enforcing Referential Integrity

What should be done if primary key
of Students tuple is updated.
sid
53666
53650
53689
name
login
Jones jones@cs
Shero shero@eecs
Smith smith@math
sid
53666
53666
53650
53666
cid
Carnatic101
Reggae203
Topology112
History105
age
18
18
19
grade
C
B
A
B
gpa
3.4
3.2
3.8
Referential Integrity in SQL/92

SQL/92 supports all 4 options
on deletes and updates.
– Default is NO ACTION
(delete/update is rejected)
– CASCADE (also delete all
tuples that refer to deleted
tuple)
– SET NULL / SET DEFAULT
(sets foreign key value of
referencing tuple)
CREATE TABLE Enrolled
(sid CHAR(20),
cid CHAR(20),
grade CHAR(2),
PRIMARY KEY (sid,cid),
FOREIGN KEY (sid)
REFERENCES Students
ON DELETE CASCADE
ON UPDATE SET DEFAULT )
Where do ICs Come From?


ICs are based upon the semantics of the real-world enterprise
that is being described in the database relations.
We can check a database instance to see if an IC is violated,
but we can NEVER infer that an IC is true by looking at an
instance.
–
–

An IC is a statement about all possible instances!
From example, we know name is not a key, but the assertion that
sid is a key is given to us.
Key and foreign key ICs are the most common; more general
ICs supported too.
Views
A view is just a relation, but we store a definition,
rather than a set of tuples.
CREATE VIEW YoungActiveStudents (name, grade)
AS SELECT S.name, E.grade
FROM Students S, Enrolled E
WHERE S.sid = E.sid and S.age<21
Views can be dropped using the DROP VIEW command.
ViewsContd.

Restrict data access and/or simplify data access
–
–
Views can be used to present necessary information (or a
summary), while hiding details in underlying relation(s).
Given YoungStudents, but not Students or Enrolled, we can find
students s who have are enrolled, but not the cid’s of the courses
they are enrolled in.